Navigating the variety of solutions in the data engineering space can be overwhelming. There are many choices that cover a wide variety of use-cases depending on the volume, variability and velocity of your data, and the technical language and claims made by technology vendors can be a barrier to understanding. 

This full-day workshop on quantum computing for natural sciences is aimed at providing participants with a comprehensive overview of the latest advancements in quantum information processing methods and their potential applications in fundamental physics, chemistry, materials and life sciences.

Aimed at independent users, this course in Reinforcement Learning (RL) will take you through some of the practical considerations to make when looking at how Reinforcement Learning can be used as a decision-making tool in your business.

Join us to launch our Engineering Sector Call for Proposals with our partner at NAFEMS and gain access to specialist resources in AI, machine learning, and related technologies.

Aimed at Independent Users, this course will take you through the full lifecycle of “model to service”, starting off with an open-source language model and going through the steps to go from a model to a fully usable deployed cloud-hosted application

Have you ported your applications to supercomputers and found they are not as fast as you expected? Do you want to know which sections of the application are limiting performance?